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README.md

Tablesaw

Apache 2.0 Build Status Codacy Badge

Overview

Tablesaw is Java for data science. It includes a dataframe and a visualization library, as well as utilities for loading, transforming, filtering, and summarizing data. It's fast and careful with memory. If you work with data in Java, it may save you time and effort. Tablesaw also supports descriptive statistics and integrates well with the Smile machine learning library.

Tablesaw features:

Data processing & transformation

  • Import data from RDBMS and CSV files, local or remote (http, S3, etc.)
  • Combine tables by appending or joining
  • Add and remove columns or rows
  • Sort, Group, Query
  • Map/Reduce operations
  • Handle missing values

Visualization

Tablesaw supports data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. Here are a few examples of the new library in action.

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Statistics

  • Descriptive stats: mean, min, max, median, sum, product, standard deviation, variance, percentiles, geometric mean, skewness, kurtosis, etc.

Getting started

Add tablesaw-core and tablesaw-jsplot to your project:

<dependency>
    <groupId>tech.tablesaw</groupId>
    <artifactId>tablesaw-core</artifactId>
    <version>0.24.9</version>
</dependency>
<dependency>
    <groupId>tech.tablesaw</groupId>
    <artifactId>tablesaw-jsplot</artifactId>
    <version>0.24.9</version>
</dependency>

Documentation and support:

And always feel free to ask questions or make suggestions here on the issues tab.

Integrations